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  <title>Repository Collection: null</title>
  <link rel="alternate" href="https://scholar.dgist.ac.kr/handle/20.500.11750/16196" />
  <subtitle />
  <id>https://scholar.dgist.ac.kr/handle/20.500.11750/16196</id>
  <updated>2026-04-04T12:19:13Z</updated>
  <dc:date>2026-04-04T12:19:13Z</dc:date>
  <entry>
    <title>METHOD AND DEVICE FOR PROVIDING INFORMATION FOR CANCER DIAGNOSIS BY USING EXTRACELLULAR VESICLES</title>
    <link rel="alternate" href="https://scholar.dgist.ac.kr/handle/20.500.11750/59191" />
    <author>
      <name>김해영</name>
    </author>
    <author>
      <name>구교권</name>
    </author>
    <author>
      <name>김영규</name>
    </author>
    <author>
      <name>김은주</name>
    </author>
    <author>
      <name>이윤희</name>
    </author>
    <author>
      <name>박수현</name>
    </author>
    <id>https://scholar.dgist.ac.kr/handle/20.500.11750/59191</id>
    <updated>2025-11-18T06:10:12Z</updated>
    <summary type="text">Title: METHOD AND DEVICE FOR PROVIDING INFORMATION FOR CANCER DIAGNOSIS BY USING EXTRACELLULAR VESICLES
Author(s): 김해영; 구교권; 김영규; 김은주; 이윤희; 박수현
Abstract: This method utilizes machine learning on the basis of extracellular vesicles obtained through a liquid biopsy, so as to provide information necessary for efficient cancer diagnosis, and comprises: collecting learning data including surface characteristic images of extracellular vesicles extracted from cancer cells; using the learning data so as to construct an artificial intelligence diagnosis model; and deriving cancer-related disease information through the constructed artificial intelligence diagnosis model on the basis of surface characteristic data of extracellular vesicles to be diagnosed.</summary>
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